# Your LLM Cannot Tell When It Is Wrong, Build for That

> Source: <https://dev.to/paulcrinigan/your-llm-cannot-tell-when-it-is-wrong-build-for-that-422i>
> Published: 2026-07-12 16:04:56+00:00

Every LLM hallucinates, and it is not a bug the next model release will fix. Next-token prediction rewards fluent, plausible text, and a confident fabrication scores exactly like a confident fact. The model has no internal mechanism that separates the two.

That means the reliable systems are the ones engineered around the model:

Users forgive a system that says it is unsure. They do not forgive one that invents an answer with a straight face.

There is a full developer guide covering the architecture, a taxonomy of hallucination types, and implementation walkthroughs here: [https://www.adaptiverecall.com/ai-hallucinations/](https://www.adaptiverecall.com/ai-hallucinations/)
